I am going to explain how features "Aggression", "Vision" affects players market predictions. I use fifa-23 dataset. Models that I use are Random Forest Regressor and MLP Regressor.
First model that I use is RandomForestRegressor. I have already used and shortly described in homework 1.
Coefficient of determination: 0.78 Scatter plot: predictions vs truth
Calculating ceteris paribus: 100%|██████████| 62/62 [00:00<00:00, 174.73it/s]
Calculating ceteris paribus: 100%|██████████| 2/2 [00:00<00:00, 41.51it/s]
MLP - multi-layer perceptron is a neural network that consists of at least 3 layers. One layer usually consist of a linear and an activation.
Coefficient of determination: 0.82 Scatter plot: predictions vs truth
Calculating ceteris paribus: 100%|██████████| 2/2 [00:00<00:00, 35.88it/s]